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GP-ARX-Based Structural Damage Detection and Localization under Varying Environmental Conditions

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques

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Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools

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Robust Model-Based Fault Diagnosis for Dynamic Systems

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Dispersion–Corrected, Operationally Normalized Stabilization Diagrams for Robust Structural Identification

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Experimental Vibration Analysis for Civil Structures

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Modeling and Identification of Linear Parameter-Varying Systems

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VAR Based State–space Structures: Realization, Statistics and Spectral Analysis

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Encyclopedia of Earthquake Engineering

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Model-Aided Diagnosis of Mechanical Systems

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Damage detection from changes in curvature mode shapes

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Data-driven uncertainty quantification of structural systems via B-spline expansion

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Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks

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Fault detection and isolation of gas turbine engine using inversion-based and optimal state observers

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On damage diagnosis for a wind turbine blade using pattern recognition

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A multivariate data analysis approach towards vibration analysis and vibration-based damage assessment:

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On robust regression analysis as a means of exploring environmental and operational conditions for SHM data

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Multivariate GP-VAR models for robust structural identification under operational variability

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Sensitivity driven robust vibration-based damage diagnosis under uncertainty through hierarchical Bayes time-series representations

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A substructure approach for fatigue assessment on wind turbine support structures using output-only measurements

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Development of virtual sensors to increase the sensitivity to damage

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Using unknown input observers for robust adaptive fault detection in vector second-order systems

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Distinguishing between sensor fault, structural damage, and environmental or operational effects in structural health monitoring

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Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors

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Long-term monitoring and data analysis of the Tamar Bridge

inferredcites →https://doi.org/10.1016/j.ymssp.2015.10.018openalex-snapshot

Functionally Pooled models for the global identification of stochastic systems under different pseudo-static operating conditions

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Damage/fault diagnosis in an operating wind turbine under uncertainty via a vibration response Gaussian mixture random coefficient model based framework

inferredcites →https://doi.org/10.1016/j.ymssp.2017.04.016openalex-snapshot

Gaussian Mixture Random Coefficient model based framework for SHM in structures with time–dependent dynamics under uncertainty

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A stochastic global identification framework for aerospace structures operating under varying flight states

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Sequential Bayesian estimation of state and input in dynamical systems using output-only measurements

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Information criteria for residual generation and fault detection and isolation

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Box and Jenkins: Time Series Analysis, Forecasting and Control

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Effect of Temperature on Modal Variability of a Curved Concrete Bridge under Ambient Loads

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Response Prediction of Systems Experiencing Operational and Environmental Variability

inferredcites →https://doi.org/10.1061/ajrua6.0000872openalex-snapshot

Polynomial Chaos Expansion Models for the Monitoring of Structures under Operational Variability

inferredcites →https://doi.org/10.1088/1742-6596/628/1/012072openalex-snapshot

Vibration-based SHM System: Application to Wind Turbine Blades

inferredcites →https://doi.org/10.1088/1742-6596/628/1/012073openalex-snapshot

Natural vibration response based damage detection for an operating wind turbine via Random Coefficient Linear Parameter Varying AR modelling

inferredcites →https://doi.org/10.1098/rsta.2006.1935openalex-snapshot

Effects of environmental and operational variability on structural health monitoring

inferredcites →https://doi.org/10.1109/43.838998openalex-snapshot

Bridge fault diagnosis using stuck-at fault simulation

inferredcites →https://doi.org/10.1109/rast.2017.8002928openalex-snapshot

Inspection of the machined features created at the embedded sensor aluminum plates

inferredcites →https://doi.org/10.1109/tcst.2014.2364956openalex-snapshot

Wind Turbine Fault Diagnosis and Fault-Tolerant Torque Load Control Against Actuator Faults

inferredcites →https://doi.org/10.1109/tie.2015.2399401openalex-snapshot

Fault Diagnosis of Advanced Wind Turbine Benchmark using Interval-based ARRs and Observers

inferredcites →https://doi.org/10.1111/j.1747-1567.1999.tb01320.xopenalex-snapshot

ENVIRONMENTAL VARIABILITY OF MODAL PROPERTIES

inferredcites →https://doi.org/10.1117/12.434167openalex-snapshot

Electro-mechanical impedance method for crack detection in metallic plates

inferredcites →https://doi.org/10.1142/9789814439022_0001openalex-snapshot

Structural Health Monitoring for Civil Infrastructure

inferredcites →https://doi.org/10.1155/2015/193831openalex-snapshot

Structural Dynamical Monitoring and Fault Diagnosis

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Model-based fault diagnosis for aerospace systems: a survey

inferredcites →https://doi.org/10.1177/1077546313501536openalex-snapshot

On the use of dispersion analysis for model assessment in structural identification

inferredcites →https://doi.org/10.1177/1475921703002002005openalex-snapshot

Principal Component Analysis of a Piezosensor Array for Damage Localization

inferredcites →https://doi.org/10.1177/1475921710388971openalex-snapshot

Machine learning algorithms for damage detection under operational and environmental variability

inferredcites →https://doi.org/10.1177/1475921713502836openalex-snapshot

Output-only structural health monitoring in changing environmental conditions by means of nonlinear system identification

inferredcites →https://doi.org/10.1177/1475921716663876openalex-snapshot

Vibration-based experimental damage detection of a small-scale wind turbine blade

inferredcites →https://doi.org/10.1201/9781351174664-382openalex-snapshot

Fault diagnosis of wind turbine structures using decision tree learning algorithms with big data

inferredcites →https://doi.org/10.12783/shm2015/351openalex-snapshot

Vibration-based Damage Detection on a Blade of a Small Scale Wind Turbine

inferredcites →https://doi.org/10.1533/9781782422433.1.67openalex-snapshot

Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures

inferredcites →https://doi.org/10.2514/6.2019-4503openalex-snapshot

Fault Detection and Identification for Multirotor Aircraft by Data-Driven Statistical Learning Methods

inferredcites →https://doi.org/10.3182/20140824-6-za-1003.01668openalex-snapshot

Fault Diagnosis of Advanced Wind Turbine Benchmark using Interval-based ARRs and Observers

inferredcites →https://doi.org/10.3389/fbuil.2016.00013openalex-snapshot

An Autonomous Strain-Based Structural Monitoring Framework for Life-Cycle Analysis of a Novel Structure

inferredcites →https://doi.org/10.3389/fbuil.2017.00069openalex-snapshot

Gaussian Process Time-Series Models for Structures under Operational Variability

inferredcites →https://doi.org/10.3390/s17040720openalex-snapshot

A Data-Driven Diagnostic Framework for Wind Turbine Structures: A Holistic Approach

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Detection of Moving Load on Pavement Using Piezoelectric Sensors

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Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering

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FINITE ELEMENT METAMODELING OF UNCERTAIN STRUCTURES

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Autoregressive Deep Learning Models for Bridge Strain Prediction

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A novel methodology for structural health monitoring of buildings subjected to earthquakes

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A hierarchical output-only Bayesian approach for online vibration-based crack detection using parametric reduced-order models

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Vibration feature extraction using signal processing techniques for structural health monitoring: A review

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Hybrid operational modal analysis of an operative two-bladed offshore wind turbine

inferred← citeshttps://doi.org/10.1016/j.ymssp.2025.112775openalex-snapshot

Sequential Bayesian updating of local LPV models for structural damage detection under changing environment

inferred← citeshttps://doi.org/10.1017/dce.2026.10062openalex-snapshot

Bayesian multi-model time series approach for structural health monitoring with sequential updates

inferred← citeshttps://doi.org/10.1061/(asce)sc.1943-5576.0000639openalex-snapshot

Damage Severity Quantification Using Wavelet Packet Transform and Peak Picking Method

inferred← citeshttps://doi.org/10.1109/jiot.2022.3176671openalex-snapshot

System Identification at the Extreme Edge for Network Load Reduction in Vibration-Based Monitoring

inferred← citeshttps://doi.org/10.1115/1.4067140openalex-snapshot

On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications

inferred← citeshttps://doi.org/10.31224/osf.io/zjtvkopenalex-snapshot

Damage detection under temperature variability using closed-loop mode shapes

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Sensor Networks in Structural Health Monitoring: From Theory to Practice

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Sensor Networks in Structural Health Monitoring: From Theory to Practice

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